Skill Chainer
Invoke another available skill within the current conversation turn.
Installation
- Make sure Claude is on your device and in your terminal.
Skills load from
~/.claude/skills/when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then runclaudein any terminal to verify.One-time setupnpm i -g @anthropic-ai/claude-codeAlready have it? Skip ahead.
- Paste into Claude Code or into your terminal.
This copies the whole skill folder into
~/.claude/skills/tools-yeachan-heo/— the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.Faster alternative (instruction-only skills)
Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.
Quick install (SKILL.md only)Sign up to copy - Restart Claude Code.
Quit and reopen Claude Code (or any other agent that loads from
~/.claude/skills/). New skills are picked up on startup. - Just ask Claude.
Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.
Prefer to read the source first? Open on GitHub.
When Claude uses it
Claude activates this skill based on the context of your request.
What this skill does
Invoke another available skill in the current turn.
<conditions> - A SKILL document instructs you to chain into another skill on completion (e.g. ralplan → ultragoal) - You finished one skill's workflow and the next step requires another skill's full prompt context </conditions> <instruction> - `name` is the skill name as it appears in `/skill:<name>` (e.g. `ralplan`, `ultragoal`, `autoresearch`, `deep-interview`) - `args` is the free-form argument string the skill would receive after `/skill:<name>` on the command line - The tool loads the callee's SKILL.md into the current turn and handles native workflow caller→callee state handoff when the caller is one of the built-in GJC workflows. - The chain is refused while a native workflow caller is still mid-flight. `autoresearch` chains from any of its phases (`intake`/`research`/`verdict`) — a research mission is always handoff-ready. `deep-interview` chains once its final spec is persisted (phase `handoff`), and `ralplan` chains from `final` or `handoff`. Only a mid-flight `ralplan` or `ultragoal` needs preparation first: `gjc state <skill> write --input '{"current_phase":"handoff"}' --json`; no other handoff command is needed. Runtime project/user skills do not use `gjc state <skill>`. - Call once per chain step. To chain `A → B → C`, A calls `skill(B)`; B's next agent turn calls `skill(C)`. </instruction> <critical> - Do NOT use this tool to "remind yourself" of a skill you're already running. The current SKILL.md is already in your context. - Do NOT chain into the same skill recursively. If a skill's flow needs another iteration, follow its in-document instructions. - `name` MUST be one concrete skill name, NOT a glob or wildcard. Passing `*`, `?`, or a pattern like `git-*` is rejected immediately — the `--skills '*'` launch filter is unrelated to this tool's `name`. - The chained skill's planning/execution-boundary rules still apply. Chaining does not grant execution approval. </critical> <examples> # Hand off from ralplan to ultragoal after an approved plan {"name": "ultragoal", "args": "track execution of .gjc/plans/ralplan/<run-id>/pending-approval.md"}Trigger deep-interview with no arguments
{"name": "deep-interview"} </examples>
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